Naukri Jobs Scraper

Yes — a job ad published in public is public data. Everything we collect is what anyone browsing Naukri without an account can already see. More in our guide to the legality of web scraping.

No login required. No account to sync, no cookie to paste, no Chrome extension to install — and no account of yours waiting around to get banned. Type a job title and a city and you are away.

74 data points per job. Title, company and its AmbitionBox rating, location, work mode, experience range, salary, key skills, the full description, how many openings there are and whether a consultancy posted it.

About 650 jobs a minute. Which makes a 10,000-job export a coffee break rather than an afternoon, and a daily re-run of your favourite search is over before you have opened the spreadsheet.

Wherever you already work. Google Sheets, Make, n8n, Amazon S3, email, webhooks — plus our MCP server, so Claude or ChatGPT can launch a run and read the results itself. CSV, Excel and JSON too. See all integrations.

Yes, and the filters stack on top of your URL. Years of experience (0 for freshers), yearly salary band, remote, hybrid or on-site, date posted, and company jobs versus consultancy jobs. Jobs you filter out never cost a credit.

The deep half of the posting, for 1 extra credit per job. The complete description, applicant and view counts, role, industry, education, employment type, the company's address and website, and its AmbitionBox reviews.

No — plenty of Indian employers keep it to themselves, and we say so. When a package is shown you get minimum, maximum, monthly figures and currency in their own fields. When it is not, the row is flagged so you can filter it out in one click.

Yes — set a Newer Than threshold. Give it 24h, 7d, 2w or an absolute date in Indian time or any other, and each run stops at what you already have. Pair it with a daily schedule and you pay for the new arrivals only.

As deep as you care to go — Naukri's result sets are enormous. A broad query like python developer carries well past 10,000 jobs, so it is your Max Results Per Task that decides where to stop, not the site.

URL, such as https://www.naukri.com/python-developer-jobs-in-bangalore. Paste thousands at once or upload a CSV; duplicate inputs are skipped. 11 settings shape the run: see them in the playground.

74 data attributes per job, each with its description and an example: see the full list.

No. Duplicates are removed, and you only pay for unique results.

As fresh as your run: each run collects the data from the site at the moment it runs, nothing comes from a stored database.

CSV, Excel or JSON from the dashboard, through the API, or sent after every run to Google Sheets, Amazon S3, an SFTP server, a webhook or by email.

7 days on the free plan, 28 days on paid plans. Then they are deleted. Download or deliver what you want to keep.

Around 650 jobs a minute for one squid. Your plan's slots run several squids at the same time.

100.00% of its runs had no incident over the last 90 days (0 incidents, 100% fixed). Every day is on this page.

Our team fixes the scraper: every scraper on lobstr.io is built and maintained by us. How we measure.

Yes, on paid plans: every hour, every day, every weekday or on a custom schedule, in your time zone.

Yes: set the most results per task and per run in the settings. The run stops there and so does the bill.

1 credit per result. Options add to it: Full Job Details +1. The playground shows the price as you pick them.

Yes. The free plan gives 100 credits every month, 100 results with this scraper, with exports capped at 30 rows.

Every month a plan gives credits, which pay for results, and slots, which set how many squids run at the same time. Starter: $20 for 10,000 credits; Pro: $100 for 100,000 credits; Team: $500 for 1,000,000 credits. Upgrades start right away and are prorated; downgrades and cancellations take effect at the end of the cycle.

No. Your credits refresh every month with your plan.

You choose, per squid: pause and pick up where it stopped, or end the run. To keep going, upgrade or reset your billing cycle: your plan renews right away and your credits come back. Auto Billing Reset does it for you when your usage crosses a threshold you set.

Yes: paying yearly takes 20% off every plan.

A monthly plan: within 10 days of the charge, if no credit was used in that period. A yearly plan: within 30 days, in full if no credit was used, otherwise minus one month. Cancel from your billing page, then write to contact@lobstr.io. The details are in the terms of use.

Collecting publicly available data is generally allowed, but you choose what you collect and you are responsible for how you use it. Our terms of use (article 6) ask every user to respect the rights of the sites, not to extract substantial parts of a database, not to access confidential data and to follow personal data law such as the GDPR. This is not legal advice.

When results contain personal data, you are the data controller and lobstr.io, a French company, processes them on your behalf, under our personal data agreement. You need a lawful basis for what you collect, must inform the people concerned and honor their requests.

Results: 7 days on the free plan, 28 days on paid plans, then they are deleted; you can delete them sooner. Your account data: see the privacy notice.

Yes, through the REST API at https://api.lobstr.io/v1, with your key from the dashboard. The playground’s Code tab writes the calls for your settings, in cURL and Python. The documentation has the full reference.

Yes. Add our MCP server, https://mcp.lobstr.io/mcp, to Claude, ChatGPT, Cursor or any MCP client and sign in with lobstr.io. Your agent shows the cost and asks you before a run spends credits. The playground’s Agent tab gives you a prompt.

No. Credits pay for results, not for requests.

Yes. Point a webhook at your server and lobstr.io calls it when a run succeeds or fails.

Yes, per endpoint: 120 requests a minute on squids and runs, 90 on tasks, 2 a second on results. Above that the API answers 429 with a Retry-After header.